From a Dynamic Image Annotation Process within the Humanities to a Canonical Workflow

Autor:	Andreas Pfeil, Thomas Jejkal, Danah Tonne, Germaine Götzelmann
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Humanities Automation DATA processing & computer science CWFR FOS: Humanities ddc:004 FAIR Workflow
Zdroj:	Data Intelligence, 4 (2), 386-397
ISSN:	2641-435X 2096-7004
DOI:	10.5445/ir/1000146037
Popis:	One idea of the Canonical Workflow Framework for Research (CWFR) is to improve the reusability and automation in research. In this paper, we aim to deliver a concrete view on the application of CWFRs to a use case of the arts and humanities to enrich further discussions on the practical realization of canonical workflows and the benefits that come with it. This use case involves context dependent data transformation and feature extraction, ingests into multiple repositories as well as a “human-in-the-loop” workflow step, which introduces a certain complexity into the mapping to a canonical workflow.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e9f0162c33436795bf36b3d4deed971 Zobrazit plný text záznamu